Exploring Digital Support for Pet-Loss Grief: Community Narratives as Supportive Resources for Emotional Resilience
Abstract
In Japan, animals such as dogs and cats kept within households have increasingly been regarded as family members and recognized as companion animals. As pets have come to share everyday living spaces with humans, emotional attachment has deepened, and experiences of pet-loss grief have become more profound. However, social recognition and sustainable frameworks for supporting such grief remain limited. This study investigates how community-mediated grief narratives function as socio-technical resources that support emotional resilience in experiences of pet loss, and explores how these functions may be extended through digital transformation. Focusing on a community-based case in Japan, the research examines memorial essays published in a temple-run newsletter that serves as an archive of shared mourning practices.A qualitative case study design was adopted, drawing on two data sources: memorial essays voluntarily contributed by bereaved pet owners and semi-structured interviews with selected authors. The data were analyzed using reflexive thematic analysis to explore how grief experiences are articulated, shared, and socially acknowledged within a communal context. The analysis identified recurring themes of loss, gratitude, continuing bonds, and meaning-making through remembrance. The mediated sharing of these narratives fosters emotional recognition and a sense of shared experience without requiring direct interpersonal interaction. Building on these findings, the study discusses implications for affective digital design, highlighting how digitally archiving and circulating grief narratives may contribute to more sustainable and accessible forms of emotional support for individuals experiencing pet loss.
Keywords: Pet-loss Grief, Community-mediated Narratives, Emotional Resilience, Affective Digital Design, Socio-technical Support
DOI: 10.54941/ahfe1007352
Cite this paper
More from this volume
- An Embodied Interaction System for Five-Tone Music Therapy: A Guqin-Inspired Multimodal Design
- Beyond Function: An Analysis of Affective Design Factors in Japanese Mechanical Watches with High Auction Prices
- Environment Providing Necessary Information to Users Using Multiple IoT Avatars
- i-EyFuze: An Eye-Shaped eHMI in Autonomous Vehicles that Provides Intentions for Pedestrians
- Voice-Based Human Relaxation Assessment Using Autoencoder-Driven Anomaly Detection of Calm Speech
- Feasibility study of estimating visuospatial cognition and mental states using eye movement and brain activity during domain-specific tasks
- Deep Learning of Latent Gaze Representations for Cognitive Ability and Mental State Estimation
- Lightweight Driver Drowsiness Detection Model Using MediaPipe Blendshapes and a Dual-Attention Hierarchical BiLSTM
- Estimating 3D Ground Reaction Forces During Gait Using a Deep Learning Model with IMU and Plantar Pressure Data
- Integrating SOR and TAM Models to Explore Consumer Emotions and Preferences in Fur Fashion Design
- Effect of Changing Task Sequence on Physical Workload in Agricultural Operations
- Influence of Social Appearance Attributes of Cyber Driving Support Agents on the Passenger Effect


AHFE Open Access